Network generated precision time

ABSTRACT

Precision digital chronography based on detected changes in state of a processor is described. The changes in state may be detected by another processor and an averaged time interval generated. A signal corresponding to the averaged time interval may be communicated to a distributed database and propagated to remote systems. Devices associated with the remote systems may adjust or set a device clock in accordance with the averaged time interval.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of and claims the benefit of the U.S.Non-provisional application Ser. No. 16/044,235, filed on Jul. 24, 2018which is hereby incorporated herein in its entirety by reference.

BRIEF SUMMARY

A high-level overview of various aspects of the technology describedherein is provided as an overview of the disclosure and to introduce aselection of concepts that are further described in thedetailed-description section below. This summary is not intended toidentify key features or essential features of the claimed subjectmatter, nor is it intended to be used as an aid in isolation todetermine the scope of the claimed subject matter.

Aspects described herein generally relate to the generation of precisiontime. For example, some aspects described herein are directed tocomputer-implemented methods for generating a digital chronographicreference signal. In an aspect, the method comprises generating, by eachprocessor in a first set of processors a corresponding plurality ofoutputs based on a program executed by each processor in the first set,wherein each corresponding plurality of outputs indicates at least acorresponding first change of state based at least in part on theexecuted program, the corresponding first change of state representing acorresponding first time interval. The method further comprisesgenerating, by a second processor, at least a first averaged timeinterval based on each corresponding first change of state indicated inthe plurality of outputs generated by the first set of processors.Additionally, the method comprises transmitting, over a network, atleast a first signal to one or more remote computing devices, the firstsignal being transmitted in accordance with the generated first averagedtime interval. A remote computer may determine a predetermined timeinterval based on the transmission of at least the first signal.Further, in response to the predetermined time interval, a device clockmay be adjusted by the predetermined time interval from a first time toa second time. Although described in more detail below the signal maycomprise a signed hash value generated from a private key paired with apublic key, may be transmitted to a distributed database, and/or may beassigned a transaction number by the distributed database.

Some aspects herein are directed to a system for digital chronographybased on a reference signal generated in response to detected changes instate of a set of processors. In an aspect, the system comprises aprocessor and a set of computer codes that when executed by theprocessor cause the processor to perform operations. The operations maycomprise receiving a first signal corresponding to a generated averagedtime transmitted over a network. Further, responsive to receipt of thefirst signal, a local time is determined in accordance with thegenerated average time.

Some aspects herein are directed to non-transitory storage media storingcomputer instructions that when executed by at least one processor causethe at least one processor to perform operations. In an aspect, theoperations comprise providing a public key to a device storing aninstance of a distributed database. Further, detecting a communicationof a signed hash value from at least one blade server to the distributeddatabase, the signed hash value generated based on a captured change instate of a processor associated with the at least one blade server. Inresponse to the detection, determining a predetermined time intervalcorresponding to the captured change in state of the processor and adevice clock is automatically adjusted in accordance with thepredetermined time interval.

Some aspects herein are directed to a method for digital chronography.In an aspect the method comprises transmitting, over a network, a signedhash value from a blade server to a distributed database for storage,the signed hash value generated from a change in state of a processorcaptured by the blade server and based on the transmitting, determininga predetermined time interval, wherein the determining operation isperformed by a remote device with a public key associated with the hashvalue. Further, the remote device clock may be adjusted or set inaccordance with the predetermined time interval.

BACKGROUND

Precision wireless network timing is crucial for network operation. Forexample, in time division duplex wireless communication networks theprecision timing signal is used to, amongst other things, orchestratewhen the user device transmits and the base station listens, and whenthe base station transmits and the user device listens. Loss of timingsignals may lead to rapid network degradation and ultimately servicetermination. Generally speaking, current precision timing is handled bythe global positioning system (GPS) or other global navigation satellitesystems (GNSS) (such as GLONASS, Galileo, Beidou, and so on). GNSS'sbroadcast radio signals providing the satellites location and a time.Those skilled in the art will understand the processes such systemsutilize to determine the time. However, GNSS systems are subject tocompromise (such as hacking or hijacking), natural interference (such assolar flares), and artificial interference (such as jamming or anti-GPSdevices, governmental control of signal).

In the event of a temporary loss of timing signal, current systems maybe able to operate for several hours before network degradation ensues,potentially resulting in service termination. However, as wirelessnetworks, user devices, and the internet of things becomes moreprevalent, precision network timing becomes more crucial. Further, the5^(th) generation of wireless communication networks (5G) will placemuch higher demands on precision timing networks that may turn the lossof signal operational window from hours to minutes. Accordingly, thereis a technologic need for a reliable, trusted, highly precise,terrestrial timing signal.

BRIEF DESCRIPTION OF THE DRAWINGS

Illustrative embodiments of the present invention are described indetail below with reference to the attached drawing figures, andwherein:

FIG. 1 depicts an exemplary environment suitable for use in implementingaspects herein;

FIG. 2 depicts another exemplary environment suitable for use inimplementing aspects herein;

FIG. 3 depicts an exemplary method for generation of an averaged timeinterval, according to an aspect herein;

FIG. 4 depicts an exemplary process for the generation and propagationof an averaged time interval, according to an aspect herein;

FIG. 5 depicts an exemplary method for setting a device clock, accordingto an aspect herein;

FIG. 6 depicts another exemplary method for adjusting a device clock;and,

FIG. 7 depicts an exemplary computing device suitable for use inimplementing aspects herein.

DETAILED DESCRIPTION

The subject matter of the technology described herein is described withspecificity to meet statutory requirements. However, the descriptionitself is not intended to limit the scope of this patent. Rather, theinventors have contemplated that the claimed subject matter might alsobe embodied in other ways, to include different steps or combinations ofsteps similar to the ones described in this document, in conjunctionwith other present or future technologies. Moreover, although the terms“step” and/or “block” may be used herein to connote different elementsof the methods employed, the terms should not be interpreted as implyingany particular order among or between various steps herein disclosedunless and except when the order of individual steps is explicitlydescribed.

As used herein unit prefixes, such as μ (micro), p (pico), f (femto) areused in there standard meaning according to the International System ofUnits (SI). For example, 1 μs=0.000001 seconds=1×10⁻⁶ seconds. However,it will be understood by those skilled in the art that references madeherein to a “micro cell” or a “femto cell” are used in the commonlyunderstood context of the industry and not necessarily as a literal SIprefix. Additionally, the customary SI unit abbreviations are usedherein with the standard meaning. For example, and as illustrated above,s=second(s). In another example, Hz=Hertz=cycle/second. Accordingly, acycle occurring every ns=1 GHz.

The subject matter described herein is generally described in thecontext of a wireless communications network. This is done merely forthe sake of clarity and those skilled in the art may, upon reading thisdescription, understand other contexts in which the subject matter maybe utilized. For example, the inventors have contemplated the subjectmatter described herein in the context of infrastructure networks (suchas an A/C power grid), economic networks (such as high-frequencytrading, flash trading, and generalized electronic trading), air trafficcontrol networks, first responder networks (such as EMS, police, firerescue, and the like), amongst others. Again, however, even theseexamples are not provided to limit the scope of this description.

With reference to FIG. 1 , a network environment suitable for use inimplementing embodiments of the present disclosure is provided. Such anetwork environment as illustrated in FIG. 1 is designated generally asnetwork environment 100. Network environment 100 is but one example of asuitable network environment and is not intended to suggest anylimitation as to the scope of use or functionality of the disclosure.Neither should network environment 100 be interpreted as having anydependency or requirement relating to any one or combination ofcomponents illustrated.

Network environment 100 generally comprises a processor 102 a, aprocessor 102 b, a computing device 104, a network 108, and a database110. Additionally, some aspects of network environment 100 compriseserver 106, more than one processor 102 a, more than one processor 102 band/or more than one computing device 104. Broadly speaking, networkenvironment 100 facilitates the generation, propagation, and recordationof averaged time interval 101.

Processor 102 a is generally a processor specially configured to executea program that generates output based on a change of state of at leastprocessing core of the processor 102 a. For example, in some aspectsProcessor 102 a is a specially configured reduced instruction setcomputing (RISC) processor, ARM processor, Application-SpecificIntegrated Circuit (ASIC), complex instruction set computing (CISC)processor, or custom silicon processor (CSP), such as may be and/or maybecome available from ARM, Sun, IBM, Intel, or the like. Processor 102 amay be specially configured in a number of ways. For example, processor102 a may be customized such that at least one core of the processor 102a changes state every fs, ps, ns, μs, ms, cs, ds, and/or about every fs,ps, ns, μs, ms, cs, ds. The change in state can be determined by outputin a variety of forms; such as a change in voltage, a binary data stream(i.e. a string of 1's and 0's), a predetermined value (set of values) ina predetermined register (set of registers), or the like. For example,processor 102 a may be monitored by a zero crossing detector, athreshold detector, and/or a threshold limiter integrated with computingdevice 104. In such an embodiment, as the voltage of the processor 102 acrosses or substantially approaches zero V, and/or crosses orsubstantially approaches a predetermined threshold V, and output isgenerated by the zero crossing detector, threshold detector, and/orthreshold limiter. In another example, processor 102 a may be physicallyand/or programmatically configured to write, or modify in apredetermined way (by for example changing a 1 to a 0 or 0 to a 1, oradding a 1 or 0), a value in a register accessible by processor 102 a.Generally speaking however, the output indicates a change of state of aprocessor, such as processor 102 a.

In another example, processor 102 a may be specially configured suchthat one operational cycle including at least one change of state and acorresponding output is completed by the processor 102 a every fs, ps,ns, μs, ms, cs, ds, and/or about every fs, ps, ns, μs, ms, cs, ds. Saidanother way, in some aspects the processor 102 a may generate an outputat a clock speed of a peta Hz (PHz), tera Hz (THz), giga Hz (GHz), megaHz (MHz), and so on. In some aspects, processor 102 a may generate anoutput at a clock speed of about a PHz, THz, GHz, MHz and so on.Additionally, and/or alternatively, processor 102 a may be speciallyconfigured such that in combination with embedded instructions and/ornon-embedded instructions causes at least one change of state and acorresponding output is completed by the processor 102 a every fs, ps,ns, μs, ms, cs, ds, and/or about every fs, ps, ns, μs, ms, cs, ds. Inother words, in some aspects processor 102 a is a specially designedprocessor that is physically and/or programmatically configured tochange state every femto second (fs) or about every femto second. Insome aspects, processor 102 a is a specially designed processor that isphysically and/or programmatically configured to change state every picosecond (ps) or about every pico second. In some aspects, processor 102 ais a specially designed processor that is physically and/orprogrammatically configured to change state every nano second (ns) orabout every nano second. In some aspects, processor 102 a is a speciallydesigned processor that is physically and/or programmatically configuredto change state every micro second (μs) or about every micro second. Insome aspects, processor 102 a is specially designed processor that isphysically and/or programmatically configured to change state at apredetermined time interval that is ≤1 second. In some aspects,processor 102 a is specially designed processor that is physicallyand/or programmatically configured to change state at a predeterminedtime interval that is ≥1 femtosecond. In view of the description, thedesign and fabrication of such a specially configured RISC, ARM, ASIC,CSP, and/or CISC processor will be understood by those skilled in theart. In some aspects, processor 102 a is one, more than one, or aplurality of processors. Additionally, in some aspects, processor 102 ais specifically configured to only boot and/or execute programs that isdigitally signed by a certifying authority. Thereby allowing downstreamtrust of the output from processor 102 a as a valid change in state. Insome aspects, the certifying authority may digitally sign the programwith a private certificate of authority. In some aspects, thecertificate of authority may indicate the particular time intervalassociated with the program/hardware combination. For example, a firstcertificate of authority may be used to sign a program that is executedby a processor to generate a change in state every μs or about every μs;a second certificate of authority may be used to sign a program that isexecuted by a processor to generate a change in state every ns or aboutevery ns; and so on. A public certificate of authority may be providedto subscribing devices, an impulse averaging module, and/or othersystems as described herein.

Processor 102 b may be a specially configured reduced instruction setcomputing (RISC) processor, ARM processor, Application-SpecificIntegrated Circuit (ASIC), complex instruction set computing (CISC)processor, or custom silicon processor (CSP), such as may be and/or maybecome available from ARM, Sun, IBM, Intel, or the like. Processor 102 bis generally a processor configured to detect and/or monitor the output(change in state) of processor 102 a. Further, processor 102 b mayperform operations and/or facilitate functions described in relation tocomputing device 104. As depicted in FIG. 1 , in some aspects processors102 a and 102 b may be physically distinct processors. However, in someaspects processors 102 a and 102 b may be processing cores in aprocessor. For example, a processor may have two, three, or moreprocessing cores with at least one core functionally equivalent toprocessor 102 a and at least one core functionally equivalent toprocessor 102 b.

Computing device 104 generally includes a one or more busses thatdirectly or indirectly couples the following devices: memory, one ormore processors including at least one processor 102 a and 102 b, one ormore presentation components, input/output (I/O) ports, input/outputcomponents, and an illustrative power supply. For example, computerdevice 104 may include some and/or all of the components of computerdevice 700 (as described in reference to FIG. 7 ) and at least oneprocessor 102 a and 102 b. In some aspects, computing device 104monitors processor 102 a for outputs indicating at least a correspondingchange of state of processor 102 a. For example, processor 102 b ofcomputing device 104 may monitor and/or read a register that processor102 a is configured to write or modify. In another example, processor102 b of computing device 104 may receive input from a zero crossingdetector, a threshold detector, and/or a threshold limiter that ismonitoring the changes of state of processor 102 a. It will beunderstood by those skilled in the art that these are intended asnon-limiting examples.

In some aspects, computer device 104 may be a blade in a rack enclosureor a rack mountable computing component and Server 106 is a blade serverhousing a plurality of computer devices including at least one computerdevice 104.

Server 106 generally includes a plurality of computing devices, such ascomputing device 104. Generally, a server, as the term is used in thisspecification, refers generally to a multi-user computer that provides aservice (e.g. database access, file transfer, remote access) orresources (e.g. file space) over a network connection. The term‘server,’ as context requires, refers inclusively to the server'scomputer hardware as well as any server application software oroperating system software running on the server. A server application isan application program that accepts connections in order to servicerequests from users by sending back responses. A server application canrun on the same computer as the client application using it, or a serverapplication can accept connections through a computer network. Examplesof server applications include file server, database server, backupserver, print server, mail server, web server, FTP servers, applicationservers, VPN servers, DHCP servers, DNS servers, WINS servers, logonservers, security servers, domain controllers, backup domaincontrollers, proxy servers, firewalls, and so on. In some aspects,Server 106 is a blade server comprising a plurality of computing devices104. Blade servers are self-contained servers, designed for high densityand interchangeability of individual blades (such as some aspects ofcomputing device 104). In some aspects, computer device 104 is a bladein a rack enclosure or a rack mountable computing component and server106 is a blade server housing a plurality of computer devices includingat least one computer device 104. In some aspects, the server maygenerate an average time interval that is based on a correspondingchange of state of a plurality of processors 102 a locally and/orremotely in communication with server 106.

Time interval 101 is generally a predetermined period of time ≤1 s and≥1 fs for example the predetermined interval may be a fs, ps, ns, μs,ms, cs, ds, and/or about a fs, ps, ns, μs, ms, cs, ds. In some aspects,the time interval 101 is an output signal generated based on a change ofstate of a processor, such as processor 102 a. The time interval 101 maybe generated by a detected change in voltage of processor 102 a. Forexample, the change in voltage may occur during a computational cycle ofprocessor 102 a and may indicate a change of state of the processor 102a. The time interval 101 may be generated by processor 102 a writingand/or otherwise modifying a value to a register associated withprocessor 102 a. For example, the processor 102 a may execute a program,authenticated by a certificate of authority that causes the processor102 a to write and/or modify a predetermined value to a register everycomputational cycle of the processor 102 a. The written and/or modifiedvalue may indicate a change of state of processor 102 a.

Network 108 is configured to allow network connections between acomputer device 104 and/or server 106 and other devices, such as devicesstoring databases or particular instances of a distributed database(such as database 110). Additionally, network 108 is configured to allownetwork connections between a database, another database, and/orsubscribing devices. The network 108 may be configured to employ a meansof communicating information from one computing device to another, suchas through a universal serial bus (USB) port, Ethernet link, fiber opticlink, or any combination thereof. In one aspect, the network 108 may bethe Internet, or may include local area networks (LANs), wide areanetworks (WANs), or direct connections. In one aspect, the network 108may include wireless and/or wired connections.

Database 110 can take the form of a distributed database, distributedledger (such as a hyper ledger, block chain, and so on) or any otherpublic or private distributed database. The database 110 is connectedand can be adapted to communicate over a public computer network, theinternet, an intranet, an extranet, or any private communicationnetwork. Generally, the database 110 is accessible by any device thathas an Internet connection over a network. A distributed ledger, such asblock chain, as is known in the art, is a system that enables users'access to securely store data in a public place or private place. Thedata stored in the block chain is deemed secure, as each time data iswritten to the system, the written data is dependent on previouslywritten data, which can include performing cryptographic operations tohash the data. One benefit of using a distributed database, such as adistributed ledger like block chain, is that once data is written to theblock chain and a block chain transaction is created, that transactionremains intact, and can be verified in the future. The reason for this,is that data is continually written to the distributed ledger, e.g.,after a particular transaction is made, and that later data is dependenton an earlier particular transaction. Accordingly, by writing theaveraged time interval data to a distributed storage network, such asdatabase 110,210, subsequent verification of that data is practicallyensured to be accurate. In some aspects, the distributed database is apublic block chain, which receives data for storage, such as data set450, from one, one or more, and/or a plurality of entities. The entitiesneed not be related, and the type of data need not be the same. Ingeneral, entities storing instances of the block chain are unrelated,and the type of data can vary to almost any type of digital data, e.g.,not limited to identity data, commercial data, cryptocurrency data,average time interval, etc. However, in some aspects, the entitiesstoring instances of the distributed database, such as a block chain,are associated with one, one or more, or a plurality of subscribers toand/or operators of a digital chorography service. Thus, the datareceived for storage is configured to be processed to generate a datasetthat is dependent on previous data stored to the block chain.Accordingly and as a product of the dataset's dependency on the previousdata stored to the distributed database the distributed database ensuresthat datasets stored to the block chain are not modifiable (i.e.immutable), as each later dataset stored to the distributed databasecontinues to be dependent on previous dataset stored to the distributeddatabase. In some aspects, the distributed database (such as database110,461) is a private block chain, which receives data for storage fromone or more computing devices at least partially dedicated to producingaverage time intervals (such as computing device 104) and/or one or moreservers at least partially dedicated to producing average time intervals(such as server 106).

With reference to FIG. 2 , an example environment is depictedillustrating aspects described herein implemented in a communicationnetwork 200. Generally, communication network 200 comprises basestation(s) 202, database(s) 210, and user device 212. It will beunderstood by those skilled in the art that a communication network,such as communication network 200, may include an array of devices orcomponents, some of which are not shown so as to not obscure morerelevant aspects of the invention. Components such as terminals, links,and nodes (as well as other components) may provide connectivity in someembodiments. In aspects, network 200 is associated with one or morecommunications provider that provides services to user devices, such asuser device 212. For example, network 200 may provide voice and/or dataservices to user devices or corresponding users that are registered orsubscribed to utilize the services provided by a communicationsprovider. Network 200 can be any communication network providing voiceand/or data service(s), such as, for example, a 1× circuit voice, a 3Gnetwork (e.g., CDMA, CDMA2000, WCDMA, GSM, UMTS), a 4G network (WiMAX,LTE, HSDPA), a 5G network, a 6G network, or the like.

Database 210 may be any type of medium that is capable of storinginformation. In some aspects, Database 210 comprises at least oneinstance of a database that is part of a distributed database, such asdatabase 110,461. Database 210 may push, transmit, send, provide accessto, or otherwise communicate a dataset (such as dataset 450 as discussedin reference to FIG. 4 ) and/or a hash 460 stored in the database 210 toa base station 202. In some aspects, database 210 communicates thedataset to base station 202 in response to a receiving a cryptographickey from base station 202. Database 210 may add base station 202 to asubscriber list after the cryptographic key is provided.

In aspects, base station 202 is a wireless communications station thatis installed at a fixed location, such as a communication tower, asillustrated in FIG. 2 . The communication tower may be a structuredesigned to support one or more antennas for communications and/orbroadcasting. In other embodiments, base station 202 is a mobile basestation, small cell, mini cell, micro cell, pico cell, and/or a femtocell. The base station 202 may be an eNode B in an LTEtelecommunications network and may be used to communicate as part of thewireless communications network. In this way, base station 202 canfacilitate wireless communications between user device 212 and otherdevices, user devices, the Internet, and/or network 200. The basestation 202 may include at least one baseband unit (BBU) responsiblefor, among other things, digital baseband signal processing. Forinstance, CDMA/EVDO and LTE Internet protocol (IP) packets are receivedfrom a wireless communications network and are digitally combined by theBBU at the base station 202. The blended digital baseband signal istransmitted to a radio at the base station 202. Digital baseband signalsreceived from the radio are demodulated by the BBU and the resulting IPpackets are transmitted by the BBU to the network. The base station 202may include a radio (not shown) or a remote radio head (RRH) thatgenerally communicates with one or more antennas associated with thebase station 202. The base station may supportmultiple-input-multiple-output (MIMO) and/or time division duplex or anyother suitable communication protocols. In some aspects, base stationincludes a database 210. In some aspects, base station 202 includes abase station clock (device clock) that facilitates time division duplex,MIMO, and or other communication protocols supported by base station 202between the base station and one or more user devices (such as userdevice 212). The base station 202 may receive a dataset (such as dataset 450) and or a hash (such as hash 460) and adjust the device clockfrom a first time to a second time in accordance with the average timeinterval as described herein. Additionally, the base station may verifythe authenticity of the dataset by validating the hash 460 and/or thesystem signature 456 as described herein or as will be apparent in lightof this description.

User device 212 can communicate with other devices, such as mobiledevices, servers, etc. The user device 212 can take on a variety offorms, such as a personal computer, a laptop computer, a tablet, anetbook, a mobile phone, a smart phone, a personal digital assistant, orany other device capable of communicating with other devices by way of anetwork. Makers of illustrated user devices include, for example,Research in Motion, Creative Technologies Corp., Samsung, Applecomputers, Nokia, Motorola, and the like. A user device 212 maycomprise, for example, a display(s), a power source(s) (e.g., abattery), a data store(s), a speaker(s), memory, a buffer(s), and thelike. In embodiments, user device 212 comprises a wireless or mobiledevice with which a wireless telecommunications network(s) can beutilized for communication (e.g., voice and/or data communication). Inthis regard, the user device 212 can be any mobile computing device thatcommunicates by way of, for example, a 3G, 4G, or 5G network. Userdevice 212 may connect, at least temporarily, to base station 202. In anaspect, base station 202 may use the base station's device clock tosynchronize communications with user device 212.

With reference to FIGS. 3 and 4 , a method 300 and process 400 forgenerating a digital chronographic reference signal in accordance withaspects disclosed herein is provided. Generally, the method 300comprises generating outputs for a program executed by a processor thatcorrespond to a change of state, generating an averaged time intervalbased on each corresponding change of state, and transmitting a signalto a remote computing device in accordance with the averaged timeinterval. In some aspects, method 300 and/or process 400 is facilitatedby a specialized system, such as described in relation to FIGS. 1 and 2. Those skilled in the art will understand that, although process 400depicts what would be commonly recognized as a change in voltage as thedetected change in state, this is merely to ensure clarity in thedescription provided herein. Accordingly, it should not be interpretedas limiting the scope of the embodiments described herein.

At block 302, at least one processor generates outputs based on aprogram executed by the processor indicating a change in state of theprocessor caused by the execution of the program. In some aspects theprocessor is at least on processor 102 a as described with reference toFIG. 1 . The output from the at least one processor can take a varietyof forums such as a change in voltage, a binary data stream (i.e. astring of l's and 0's), a predetermined value (set of values) in apredetermined register (set of registers), or the like. Generallyspeaking however, the output indicates a change of state of a processor,such as processor 102 a. For example, a program executed by at least oneprocessor, such as processor 102 a, may cause a change of state (i.e.from a 1 to a 0 or from a 0 to a 1) every fs, ps, ns, μs, ms, cs, ds,and/or about every fs, ps, ns, μs, ms, cs, ds. In an aspect, the outputsindicating a change in state of the processor are captured by a blade ina blade server. In another example, a plurality of changes in state,corresponding with each other, may be detected by a plurality of zerocrossing detectors, threshold detectors, and/or threshold limitersmonitoring changes in voltage of a corresponding plurality of processors(such as processor 102 a). Those skilled in the art will understandthat, in practice, processors, busses, registers, power supplies,voltage detectors, and for that matter nearly all of the components in acomputer are not literally identical and some variations in the outputs410 may exist even if exceptionally minor. As such, a considerabletechnological limitation of networks requiring precision time can bethat even if the physical components are all sourced from the same lot,same cast, and as nearly identical handling and assembly conditions;these otherwise, potentially minor variations can prevent consistent,reliable, and accurate network time.

Accordingly, at block 304, at least one processor generates an averagedtime interval based on the corresponding change of state indicated bythe generated outputs. In some aspects, the generated outputs are theoutputs of block 302. In some aspects, the outputs are generated byleast one processor, such as processor 102 a. In some aspects, theoutputs are received, directly or indirectly, by at least one processorassociated with computing device 104. In some aspects, the outputs arereceived, directly or indirectly, by at least one processor associatedwith server 106. For example, at block 304, the plurality of the outputs410 corresponding to the detected changes in state can be sent by atleast one processor (such as processor 102 b) via an I/O component ofcomputing device 104 to a receiving component 432 of an impulseaveraging module 430 operating on a server, such as server 106. In anaspect, impulse averaging module 430 can be a physical component of aserver, such as server 106. In an aspect, impulse averaging module 430can be a program, application, and/or a combination of hardware andsoftware integrated with a server such as server 106. The receivingcomponent 432 may parse the outputs 410 from processors 102 a (sent byprocessors 102 b) and provide the averaged time interval component 434with the outputs and identify the source processor (such as theprocessor 102 a and/or processor 102 b).

In some aspects, the averaged time interval is programmaticallydetermined by the averaged time interval component 434 based on theaveraged frequency of a set of corresponding outputs from more than oneprocessor such as processor 102 a. For example, a system comprising Xprocessors 102 a, the averaged time interval may be expressed, in themost basic form as the sum of the frequency of the corresponding outputsfrom X processors 102 a, divided by X; or by Formula 1.

$\begin{matrix}{\frac{\sum f^{x}}{x} = {\overset{¯}{F} = {{Averaged}{Time}{Interval}}}} & (1)\end{matrix}$Said another way, if the system comprises 4 processors 102 a, theaveraged time interval may be expressed at the sum of output 402, output404, output 406, and output 408 divided by 4. Additionally, and/oralternatively, Formula 1 may also comprise a correction factor for eachoutput of the at least one processor, such as processor 102 a, based onthe physical configuration of the processors generating the outputs. Fora non-limiting example, the distance (or a portion of the distance)between each processor 102 a and the processor(s) determining theaverage time interval, any transmission delays created by differences intransmission modality (such as fiber optic, Ethernet, Cat5e, Cat6, T1,analog, and similar), subcomponent architecture, bus speed, and/or anyother unintentional delay creating features. For example, averaged timeinterval component 434 may determine the averaged time interval for theplurality of outputs 410 by compensating for the plurality of delays420. Accordingly, in some aspects, the average time interval isdetermined by the sum of the corrected frequency of the correspondingoutputs from X processors 102 a, divided by X, as expressed by theFormula 2.

$\begin{matrix}{\frac{{\sum f^{x}} \pm {{correction}{factor}}}{x} = {\overset{\_}{F} = {{Averaged}{Time}{Interval}}}} & (2)\end{matrix}$Said another way, if the system comprises 4 processors 102 a, theaveraged time interval may be expressed at the sum of (output402±correction factor based on D₁ 422, output 404±correction factorbased on D₂ 424, output 406 correction factor based on D₃ 426, andoutput 408±correction factor based on D₄ 428) divided by 4. It will beunderstood by those skilled in the art that the correction factor willvary widely depending on the specific environment in which method 300 isimplemented.

In an illustrative example, in some aspects, two or more servers (suchas two or more server 106) may be communicatively coupled directly orindirectly through a fiber optic cable and the computing devicesmonitoring the processors 102 a may be locally communicatively coupledthrough Ethernet. In such an aspect, the correction factor for an outputfrom a given processor 102 a may comprise a correction for locallycreated delays and a correction for the delay created by transmissionthrough the fiber optic cable. Additionally, in some aspects, impulseaveraging module 430 may be facilitated by a dedicated server (notdepicted) of server blade communicatively coupled to one or more servers106. Accordingly, as will be understood by those skilled in the art,impulse averaging module 430 may correct delays caused by communicatingthe outputs, such as outputs 410, corresponding to changes in state ofprocessors 102 a over both relatively long and relatively shortdistances.

In some aspects, in response to the impulse averaging module 430determining the averaged time interval a local master clock is adjustedby the averaged time interval. For example, the local master clock maybe adjusted by a fs, ps, ns, μs, ms, cs, or ds based on the averagedtime interval. In some aspects, impulse averaging module 430 furthercomprises a counter component 436 that incrementally increases anumerical value in response to the averaged time interval component 434.For example, each time the average time interval component processes aset of outputs, such as outputs 410, counter component 436 increases thenumerical value by 1 (i.e. from 0 to 1, from 1 to 2, from 2 to 3, and soon).

In some aspects, block 304 further comprises generating a hash valuebased on a data set. The data set may comprise the generated averagedtime interval, a time stamp indicating the local master clock's time, acount, a system signature, and/or the hash of the previous data set. Insome aspects, block 304 may be facilitated by an output component of animpulse averaging module (such as output component 438 and impulseaveraging module 430). For example, an output component 438 of theimpulse averaging module 430 may generate a data set 450 byreceiving/collecting/accessing the averaged time interval 440 from theaveraged time interval component 434, a time stamp 452 from the masterclock, a system signature 456, and/or the hash of the previous data set458. The system signature 456 may be based on a public certificate ofauthority used to validate the program run by processor 102 a, a set ofspecifications of processor 102 a, the processor 102 b, and/or computerdevice 104. The output component 438 may use the data set 450 as inputdata in a hashing algorithm to generate a hash value 460. In someaspects, the hash value is generated by software, firmware, hardware,and/or a combination thereof, comprising one or more hashing algorithms,such as a Secure Hash Algorithm (SHA) algorithm, or similarcryptographic algorithms.

In some aspects the resulting hash value 460 may be signed with adigital signature, created using a private key associated with theimpulse averaging module 430, the server hosting the impulse averagingmodule 430, the certificate of authority, and/or the entity operatingthe system. The private key may be paired with a public key held bysubscribing devices. In some aspects the resulting hash value 460 may besigned with a digital signature comprising one or more public keys,directly or indirectly, to the impulse averaging module 430. The publickey may be paired with a private key held by subscribing devices.

At block 306, a signal is communicated over a network to remote devicesin accordance with the generated average time interval. In some aspectsthe generated average time interval is from block 304. In some aspects,the signal comprises the generated hash value from block 304 and/or thedata set 450. The signal may be sent to a plurality of distributeddatabases (such as database 110,210,461) for storage as an entry througha network (such as network 108). As will be understood by those skilledin the art, communicating the signal to the distributed databases mayintroduce a delay. In some aspects, a distributed database also stores atable of correction factors (not depicted) that facilitate compensatingfor the time delay that may be created by the communication pathwaythrough the network (such as network 108). For example, latency may bedetected and compensated for by the distributed databases 110,210,461.In some aspects, method 300 additionally comprises storing the data set450 and/or the hash 460 in a distributed database, such as database 110,210, 461. The distributed database may assign a transaction number tothe data set 450 and/or the hash 460. The distributed database canprovide access, communicate, send, or otherwise facilitate propagationof the data set 450 and/or the hash 460 in accordance with the generatedaverage time interval to subscribing devices. As described above, thegenerated average time interval can be a fs, a ps, a ns, a μs, a ms, acs, a ds, and/or a predetermined interval ≥1 fs and ≤1 s. For example, aserver hosting a financial exchange 480, a server facilitating theoversight and control of a power plant or power grid 490, and/or acommunication network 200 can access or receive the data set inaccordance with the generated average time interval. In some aspects, asubscribing device provides a key to the distributed database. In someaspects the subscribing device provide a public key associated with theprivate key used to sign the data set. In some aspects the subscribingdevice provides a private key associated with the one or more publickeys used to sign the data set. The subscribing device may thenset/adjust the device's clock in accordance with the average timeinterval.

Thus, in some aspects a set of specially configured processors generateoutputs, directly (by for example writing a value to a register) orindirectly (by for example a detected change in voltage), based on thechange in state of the processors. The outputs are averaged to generatean averaged time interval. A data set and a hash value corresponding tothe average time interval is generated and communicated to a distributeddatabase. The distributed database stores the data set and hash value insequential order and communicates the data set and/or hash value inaccordance to the averaged time interval to devices with the appropriatekey. A clock of the devices is set/adjusted based on the averaged timeinterval and/or data set. In some aspects, the device may automaticallyadjust the device clock from a first time to a second time in accordanceto the averaged time interval and in response to receiving hash and/ordataset.

With reference to FIG. 5 , a method 500 is provided depicting an exampleinitial device clock setup facilitated by aspects described herein.Generally, an entry into a distributed ledger is accessed or received bya device. The entry is accessed, by for example a key stored by thedevice and the entry is read. In some aspects the device may parse orextract the data contained in the entry, for example time stamp 452 andsystem signature 456. The devices clock is set based on the time stamp452 contained in the entry and, in some aspects, the collective latencyinherent in the network. In some aspects, the authenticity of the entryis verified by the system signature 456 prior to setting the deviceclock. Once the entry is verified, in some aspects the specific instanceof the distributed database that provided the device with the entry isadded to a trusted list stored by the device. A device may not requireverification of the source of the data thereafter, may periodicallyre-verify the source, and/or may verify the source each time an entry isread.

At block 502, a dataset of a distributed database, such as stored bydatabase 110,210, is accessed and/or received by a device. In someaspects, the entry is a dataset (such as data set 450) in a blockchainstored by a distributed database. The device may access/receive thedataset by providing a key to the distributed database. In some aspectsthe subscribing device provides a public key associated with the privatekey used to sign the data set. In some aspects the subscribing deviceprovides a private key associated with one of the public key(s) used tosign the data set.

At block 504, the device may parse or extract the data contained in thedataset. For example, time stamp 452, count 454, hash 460, and/or systemsignature 456 may be parsed by a device. In some embodiments, at block506, the device may verify that the system signature 456 (indicating theauthoring system originally creating the entry) is the expectedsignature. Additionally, and or alternatively, the device may use thehash 460 to verify the dataset's authenticity. Once the dataset isverified, in some aspects the specific instance of the distributeddatabase that provided the device with the entry is added to a trustedlist stored by the device. A device may not require verification of thesource of the data from trusted sources, may periodically re-verify thesource, intermittently re-verify, and/or may verify the source each timea dataset is read. In some aspects, if the dataset is verified thedevice may communicate to other subscribing devices that the specificinstance of the distributed database is trustworthy indicating that theother subscribing devices may add the specific instance of thedistributed database to a trusted list and not require independentverification of the datasets stored with that specific instance of thedistributed database. In some aspects, if the dataset is not verified(the system signature is not the expected signature) the method 500proceeds to block 508.

In block 508, if the dataset cannot be verified the dataset 450 isrejected and the device may request a new dataset from the distributeddatabase. In some aspects, the device may access the same instance ofthe distributed database, a different instance of the distributeddatabase, and/or a plurality of instances of the distributed database.In some aspects of block 508, the specific instance of the distributeddatabase that supplied, sent, communicated, provided access to thedataset 450 may be reported to other subscribing devices asuntrustworthy. In some aspects of block 508 the device may return toblock 502.

At block 510, a clock is set for the device. In some aspects, the clockis set based on a timestamp contained in the distributed ledger entry.In some aspects, the clock is set based on a transaction number assignedto the dataset by the distributed database and the averaged timeinterval. For example, if the transaction number is 6220 and theaveraged time interval is μs, the device may set the device clock to6220 μs. Additionally, and/or alternatively, the dataset 450 maycomprise a count 454 generated by counter 436. In such an aspect, thedevice clock may be set based on the count and the averaged timeinterval. The averaged time interval may be determined by data includedin the dataset 450 and/or defined by the terms of the subscription tothe average time interval network. Additionally, in some aspects, theclock may be set by correcting the time indicated by the data set by thelatency accumulated between creation of the dataset and receipt by thedevice. For example, and in brief reference to FIG. 4 communication ofdata set 450 and/or hash 460 may introduce delays (D_(x)—collectively470) during transmission through a network to the instances of thedistributed databases 461 and devices. Said another way, the device(s)facilitating a financial exchange 480 may set a device clock based onthe dataset 450, D_(a) 471, and D_(d) 474; the device(s) facilitatingmanagement of a power plant/power grid 490 may set a device clock basedon dataset 450, D_(a) 471, and D_(c) 473; and, the device(s)facilitating the communication network 200 may set a device clock basedon dataset 450 and D_(b) 472 (and any other latency created downstreamto the individual devices). Accordingly, if the dataset 450 indicatesthat the time is 6220 ns, D_(b) 472 is 2 ns the device clock may be setto 6222 ns. In some aspects, the device may automatically adjust thedevice clock from a first time to a second time in accordance to theaveraged time interval and in response to receiving hash and/or dataset.

Aspects of method 500 may include additional, fewer, and/or alternativeblocks. Aspects of method 500 may be facilitated by some or all of thecomponents, systems, and processes described herein. Additionally, someaspects of method 500 may be performed simultaneously, in parallel,and/or in an alternative sequence.

With reference to FIG. 6 , a method 600 is provided depicting an exampleof adjusting a device clock in accordance with aspects described herein.Generally, an entry (such as dataset 450) stored in a distributed ledgeris accessed or received by a device. The entry is accessed, by forexample a key stored by the device and the entry is read. In response toaccessing, receiving, or detecting the receipt of the entry the deviceadjusts the device's clock by a time interval at least partially basedon the averaged time interval. In some aspects the device may parse orextract the data contained in the entry to validate the adjustment.

At block 602, an entry into a distributed ledger, such as stored bydatabase 110,210, is accessed and/or received by a device. In someaspects, the entry is a dataset (such as data set 450) in a blockchainstored by a distributed database. The device may access/receive thedataset by providing a key to the distributed database (such as database110,210,461). In some aspects, the subscribing device provides a publickey associated with the private key used to sign the data set. Thepublic key may be provided to the distributed database by the devicerequesting access to the dataset. In some aspects, the operator of theaveraged time interval system provides operators of subscribing devicesdigital copies of the public key. In some aspects the subscribing deviceprovides a private key associated with one of the public key(s) used tosign the dataset. The private key may be provided to the distributeddatabase by the device requesting access to the dataset. In someaspects, the operators of subscribing devices provide digital copies ofa public key generated from the operator's private key to the operatorof the averaged time interval system. In either circumstance, theappropriate key may be provided to an impulse averaging module, such asimpulse averaging module 430, via manual or automatic submission for usein signing the datasets.

At block 604, a clock is adjusted for the device. In some aspects, theclock is adjusted in accordance with the averaged time interval. Forexample, if the averaged time interval is 1 μs, the clock is adjusted by1 μs. In some aspects, the clock is adjusted based on the averaged timeinterval. If the averaged time interval is a smaller chronologicincrement than the device is capable of using and/or smaller than thedevice's operations require the device may use the transaction number,the count 454, and/or the timestamp 452 to round or truncate the averagetime interval to the nearest relevant increment and adjust the device'sclock as needed. For an illustrative example, a device clock may becapable of adjustments and/or only control operations that require μsaccuracy. However, the device may subscribe to an averaged time intervalnetwork that provides ps averaged time intervals. The device may parseand/or extract the timestamp 452 and round the timestamp to the nearestapplicable unit. Continuing with the example provided immediately above,prior to receipt of the dataset the device clock may be set at 100,000μs. The device may then access or receive the dataset which may indicatethat the time at the dataset's creation is 100,000,500,000 ps. Thedevice may then round (and/or convert) 100,000,500,000 ps to100,001,000,000 ps (or 100,001 μs). In this specific case, the deviceclock would be adjusted by 1 μs. Alternatively, the device may parseand/or extract the timestamp 452 and truncate the timestamp 452 to theapplicable unit and adjust (or maintain) the device clock according tothe truncated time stamp. For example, returning to the previousexample, the device may truncate (and convert) 100,000,500,000 ps to100,000,000,000 ps (100,000 μs). In this specific case the device clockwould not be adjusted, but those skilled in the art will understand thatthis is merely an example of truncation meant to illustrate aspectsdescribed herein. Similarly, the device may use the count 454, or thetransaction number in combination with the averaged time interval toperform the same rounding or truncation.

In some aspects of method 600, at block 606, the device may validate thedataset. The device may parse or extract the data contained in thedataset 450. The device may verify that the system signature 456(indicating the authoring system originally creating the entry) is theexpected signature. Additionally, and or alternatively, the device mayuse the hash 460 to verify the dataset's authenticity. In some aspects,if the dataset is verified the method 600 proceeds to block 610. In someaspects, if the dataset is not verified (the system signature is not theexpected signature) the method 600 proceeds to block 608.

At block 608, if the dataset cannot be verified the dataset 450 isrejected and the device may request a new dataset from the distributeddatabase. In some aspects, the device may access/request the datasetfrom the same instance of the distributed database, a different instanceof the distributed database, and/or a plurality of instances of thedistributed database. In some aspects of block 608, the specificinstance of the distributed database that supplied, sent, communicated,provided access to the dataset 450 may be reported to other subscribingdevices as untrustworthy. In some aspects of block 608 the device mayreturn to block 502.

In some aspects, at block 610, if the dataset is verified, the specificinstance of the distributed database that provided the device with thedataset (such as dataset 450) is added to a trusted list stored by thedevice. A device may not require verification of the source of the datafrom trusted sources, may periodically re-verify the source,intermittently re-verify, and/or may verify the source each time adataset is read. In some aspects, if the dataset is verified the devicemay communicate to other subscribing devices that the specific instanceof the distributed database is trustworthy—indicating that the othersubscribing devices may add the specific instance of the distributeddatabase to a trusted list and not require independent verification ofthe datasets stored with that specific instance of the distributeddatabase.

Aspects of method 600 may include additional, fewer, and/or alternativeblocks. Aspects of method 600 may be facilitated by some or all of thecomponents, systems, and processes described herein. Additionally, someaspects of method 600 may be performed simultaneously, in parallel,and/or in an alternative sequence.

With reference to FIG. 7 , computing device 700 includes a bus 710 thatdirectly or indirectly couples the following devices: memory 712, one ormore processors 714, one or more presentation components 716,input/output (I/O) ports 718, input/output (I/O) components 720, anillustrative power supply 722, and a radio 724. Bus 710 represents whatmay be one or more busses (such as an address bus, data bus, orcombination thereof). Although the various blocks of FIG. 7 are shownwith lines for the sake of clarity, in reality, delineating variouscomponents is not so clear, and metaphorically, the lines would moreaccurately be grey and fuzzy. For example, one may consider apresentation component such as a display device to be an I/O component.Also, processors have memory. The inventors recognize that such is thenature of the art, and reiterate that the diagram of FIG. 7 is merelyillustrative of an exemplary computing device that can be used inconnection with one or more embodiments of the present invention.Distinction is not made between such categories as “workstation,”“server,” “laptop,” “handheld device,” etc., as all are contemplatedwithin the scope of FIG. 7 and reference to “computing device.”

Computing device 700 typically includes a variety of computer-readablemedia. Computer-readable media can be any available media that can beaccessed by computing device 400 and includes both volatile andnonvolatile media, removable and non-removable media. By way of example,and not limitation, computer-readable media may comprise computerstorage media and communication media. Computer storage media includesboth volatile and nonvolatile, removable and non-removable mediaimplemented in any method or technology for storage of information suchas computer-readable instructions, data structures, program modules orother data. Computer storage media includes, but is not limited to, RAM,ROM, EEPROM, flash memory or other memory technology, CD-ROM, digitalversatile disks (DVD) or other optical disk storage, magnetic cassettes,magnetic tape, magnetic disk storage or other magnetic storage devices,or any other medium which can be used to store the desired informationand which can be accessed by computing device 700. Communication mediatypically embodies computer-readable instructions, data structures,program modules or other data in a modulated data signal such as acarrier wave or other transport mechanism and includes any informationdelivery media. The term “modulated data signal” means a signal that hasone or more of its characteristics set or changed in such a manner as toencode information in the signal. By way of example, and not limitation,communication media includes wired media such as a wired network ordirect-wired connection, and wireless media such as acoustic, RF,infrared, and other wireless media. Combinations of any of the aboveshould also be included within the scope of computer-readable media.

Memory 712 includes computer-storage media in the form of volatileand/or nonvolatile memory. The memory may be removable, non-removable,or a combination thereof. Exemplary hardware devices include solid-statememory, hard drives, optical-disc drives, etc. Computing device 700includes one or more processors that read data from various entitiessuch as memory 712 or I/O components 720. Presentation component(s) 716present data indications to a user or other device. Exemplarypresentation components include a display device, speaker, printingcomponent, vibrating component, etc.

I/O ports 718 allow computing device 700 to be logically coupled toother devices including I/O components 720, some of which may be builtin. Illustrative components include a microphone, joystick, game pad,satellite dish, scanner, printer, wireless device, etc.

Many different arrangements of the various components depicted, as wellas components not shown, are possible without departing from the scopeof the claims below. Embodiments of our technology have been describedwith the intent to be illustrative rather than restrictive. Alternativeembodiments will become apparent to readers of this disclosure after andbecause of reading it. Alternative means of implementing theaforementioned can be completed without departing from the scope of theclaims below. Certain features and subcombinations are of utility andmay be employed without reference to other features and subcombinationsand are contemplated within the scope of the claims.

The invention claimed is:
 1. A system comprising: at least oneprocessor; at least one set of computer codes that when executed by theat least one processor cause the at least one processor to performoperations comprising: receiving a plurality of data sets transmittedover a network, wherein each data set in the transmitted plurality ofdatasets corresponds to one of a plurality of averaged time intervalsgenerated by an impulse averaging module; and adjusting a locallymaintained clock responsive to receipt of at least one of the receivedplurality of transmitted datasets and based on a corresponding countvalue included in the at least one received plurality of transmitteddatasets.
 2. The computer-implemented method of claim 1, furthercomprising: based on receiving the plurality of data sets, determining apredetermined time interval by the one or more remote computing devices.3. The computer-implemented method of claim 2, wherein the locallymaintained clock is adjusted by the predetermined time interval from afirst time to a second time.
 4. The computer-implemented method of claim2, wherein the predetermined time interval is less than or equal to asecond.
 5. The computer-implemented method of claim 4, wherein thepredetermined time interval is greater than or equal to a femtosecond.6. The computer-implemented method of claim 1, wherein the plurality ofdata sets comprises a hash value with a digital signature using aprivate key that is paired with a public key.
 7. Thecomputer-implemented method of claim 6, further comprising: responsiveto receiving the plurality of data sets, verifying the digital signatureusing a locally stored copy of the public key.
 8. Thecomputer-implemented method of claim 7, wherein the plurality of datasets broadcast by a remote node that maintains a copy of a distributeddatabase.
 9. The computer-implemented method of claim 6, wherein thehash value is generated by a cryptographic algorithm.
 10. Thecomputer-implemented method of claim 1, wherein the one of the pluralityof averaged time intervals is defined by a computational-cycle of eachof the first set of processors.
 11. The method of claim 1, whereinresponsive to at least the first signal at least one of the one or moreremote computing devices broadcasts a reference time signal.
 12. Asystem comprising: at least one first processing cores; at least onesecond processing cores; at least one set of computer codes that whenexecuted by the at least one second processing cores cause the at leastone second processing cores to perform operations comprising: monitoringthe at least one first processing cores for a change in state;responsive to detecting the at least one first processing cores haschanged state, generating a output signal representative of a timeinterval between the change in state from a first state to a secondstate; and communicating the output signal to a remote sever that iscommunicatively coupled with a plurality of other second processingcores.
 13. The system of claim 12, wherein the change of state occursduring a computational-cycle of the at least on first processing cores.14. The system of claim 12, further comprising a sensor communicativelycoupled to the at least one second processing cores, wherein the sensorcomprises a zero crossing detector, a threshold detector, or a thresholdlimiter.
 15. The system of claim 12, wherein the time interval betweenthe change in state from the first state to the second state is in arange of less than or equal to 1 second and greater than or equal to 1femto second.
 16. The system of claim 12, wherein the system furthercomprises: the remote sever; non-transitory storage medium storingcomputer instructions that when executed by at least one processorassociated with the remote server cause the at least one processor toperform operations comprising: monitoring the output signal of aplurality of second processing cores; responsive to the output signal ofthe plurality of second processing cores, generating an averaged timeinterval from the monitored output signal of the plurality of secondprocessing cores; and transmitting a data package over a network inaccordance with the averaged time interval.
 17. The system of claim 16,wherein the data package comprises a digitally signed hash value.
 18. Asystem comprising: at least one processor; at least one set of computercodes that when executed by the at least one processor cause the atleast one processor to perform operations comprising: retrieving apublic key from a device storing an instance of a distributed database;detecting a data set transmitted over a network that includes thedistributed database, the data set signed by a private key thatcorresponds to the public key and transmitted over the network inaccordance with a time interval generated based on a change of state ofa plurality of processors; and adjusting a local device clock responsiveto detection of the data set.
 19. The system of claim 18, wherein thetime interval indicates the occurrence of a predetermined time intervalfrom a first time to a second time.
 20. The system of claim 18, whereinthe distributed database is a block chain that receives data from aplurality of entities, the data received from storage is configured tobe processed to generate a transaction record that is dependent ofprevious data stored to the block chain, wherein the transaction recordbeing dependent on previous data stored to the block chain ensures thatdata stored to the block chain is not modifiable, as later data storedto the block chain continues to be dependent on previous data stored tothe block chain.